Perbandingan Kualitas Suara Smartphone Menggunakan Metode Dynamic Time Warping (DTW)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Smartphones are telecommunication devices that play a significant role in daily life. The sound quality produced by a smartphone becomes important for users, considering that poor sound quality might cause misunderstandings in communication.
Inas Salsabila +2 more
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TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering [PDF]
Information Sciences, 2021 Dynamic time warping (DTW) plays an important role in analytics on time series. Despite the large body of research on speeding up univariate DTW, the method for multivariate DTW has not been improved much in the last two decades.
Daniel Shen, Min Chi
semanticscholar +3 more sources
Speech recognition using Dynamic Time Warping (DTW)
Journal of Physics: Conference Series, 2019 Sound is one of the most common communication medias used by humans. Every human has different sound characteristics. To recognize the compatibility of a sound, a special algorithm is needed, which is Dynamic Time Warping (DTW).
Yurika Permanasari +2 more
semanticscholar +2 more sources
IMPLEMENTASI TEKNIK DYNAMIC TIME WARPING (DTW) PADA APLIKASI SPEECH TO TEXT [PDF]
JURNAL TEKNIK INFORMATIKA, 2017 ABSTRAK Suara/ucapan adalah salah satu cara kita sebagai manusia untuk berkomunikasi dan mengekspresikan diri. Speech to text (ucapan ke text), merupakan salah satu bidang sains computer yaitu bidang pengolahan suara.
Candra Dinata +2 more
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Using Multi-Dimensional Dynamic Time Warping to Identify Time-Varying Lead-Lag Relationships
Sensors, 2022 This paper develops a multi-dimensional Dynamic Time Warping (DTW) algorithm to identify varying lead-lag relationships between two different time series.
Johannes Stübinger, Dominik Walter
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The use of the dynamic time warping (DTW) method to describe the COVID-19 dynamics in Poland
Oeconomia Copernicana, 2021 Research background: In recent times, the whole world has been severely affected by the COVID-19 pandemic. The influence of the epidemic on the society and the economy has caused a great deal of scientific interest.
J. Landmesser
semanticscholar +3 more sources
SM-DTW: Stability Modulated Dynamic Time Warping for signature verification
Pattern Recognition Letters, 2019 Building upon findings in computational model of handwriting learning and execution, we introduce the concept of stability to explain the difference between the actual movements performed during multiple execution of the subject’s signature, and ...
Antonio Parziale +3 more
semanticscholar +4 more sources
Iterative multiscale dynamic time warping (IMs-DTW): a tool for rainfall time series comparison [PDF]
International Journal of Data Science and Analytics, 2019 In many domains, such as weather forecasting, hydrology or civil protection, it is an important issue to characterize rainfall variability and intermittency in, either or both, a given time period or area. A variety of sensors, for instance, rain gauges, weather radars and satellites, are widely used for this purpose.
M. Dilmi +3 more
semanticscholar +4 more sources
Remote Sensing, 2022 Efficient methodologies for vegetation-type mapping are significant for wetland’s management practices and monitoring. Nowadays, dynamic time warping (DTW) based on remote sensing time series has been successfully applied to vegetation classification ...
Huayu Li +4 more
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Dynamic Time Warp (DTW) as a scalable, data-efficient, and clinically relevant analysis of dynamic processes in patients with psychiatric disorders: a tutorial [PDF]
Journal of Eating DisordersDynamic Time Warping (DTW) is an emerging analytic technique that offers a flexible approach to modeling symptom dynamics in psychological and psychiatric research.
Maren C. G. Kopland, Erik J. Giltay
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